Remote Data & AI Engineer (Databricks Lakehouse)

RevStar; Austin (TX); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Paid Time Off

Remote-First Working Environment

Comprehensive Health Coverage

401(k) Retirement Plan

Annual Learning & Development Stipend

Peer Mentorship & Coaching

Professional Growth Opportunities

Company Outings & Volunteer Events

Job summary

RevStar is seeking a Data & AI Engineer to design, build, and scale cloud-native Lakehouse pipelines. You will work with data architects, scientists, and client leaders to turn complex data into production-ready AI models across multi-cloud environments.

This role focuses on end-to-end data engineering, MLflow-based model deployment, and robust CI/CD processes, with a remote-friendly setup and a culture of ownership and shared success.

Qualifications

• 3+ years in cloud-native data engineering
• 2+ years with Databricks, Spark, Delta Lake, MLflow
• Strong Python and SQL skills with Spark frameworks
• CI/CD and Infrastructure-as-Code experience (Terraform or Databricks CLI)
• Databricks certification strongly preferred

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines across multi‑cloud environments.
• Operationalize AI models inside Databricks using MLflow and maintain production-grade deployments.
• Collaborate with data architects, scientists, and client leaders to translate complex data requirements into outcomes.

Skills

Python

SQL

Data engineering

Agile/DevOps

Tools

Databricks

Apache Spark

Delta Lake

MLflow

Terraform

Databricks CLI

Job description

RevStar is seeking a Data & AI Engineer to design, build, and scale cloud-native Lakehouse pipelines. You will work with data architects, scientists, and client leaders to turn complex data into production-ready AI models across multi-cloud environments.

This role focuses on end-to-end data engineering, MLflow-based model deployment, and robust CI/CD processes, with a remote-friendly setup and a culture of ownership and shared success.